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지역통상정보 : 부가가치지적계수(VAIC) 모형을 이용한 한국 금융서비스 분야의 국제경쟁력 비교 분석
박재식 ( Park Jae Seek ),이학노 ( Lee Hak Loh ) 한국통상정보학회 2014 통상정보연구 Vol.16 No.3
이 연구에서는 Pulic 등의 부가가치 지적계수(Value Added Intellectual Coefficient, VAIC) 모형을 이용하여 한국의 은행, 증권사, 보험사 등의 지적자본 효율성을 측정하고, 지적자본을 구성하는 인적, 구조적, 물적 자본과 금융기관의 경영성과 간의 상관관계 및 유의성을 분석하였다. 분석 결과 국내 금융회사중 부가가치 지적계수(VAIC) 및 인적자본 효율성 계수(HCE)는 은행, 보험, 증권 순으로 높았다. 한편, 아시아 주요국 및 세계 10대 은행들과 비교해 볼 때 한국을 포함한 선진국 은행들이 개도국 은행보다 VAIC와 HCE가 높은 것으로 나타났다. 다만, 한국은 호주 등에 비하여 VAIC 및 HCE가 낮은 수준인 것으로 나타났으며 최근 들어 그 수치가 하락세에 있는 것으로 나타났다. 한국 금융서비스 분야의 국제경쟁력 제고와 더불어 한국 금융산업이 해외시장 진출을 추진하는데 있어 시사점을 제시하고 있다. This study measures the efficiency of intellectual capital of Korea``s banks, financial investment companies, and insurance companies using the Value Added Intellectual Coefficient (VAIC) model, which was developed by A. Pulic and investigates into the relationship of each of VAIC’s elements - efficiency of human, structural, and material capital - with business performance of the institution. We found, first, average VAIC and human capital efficiency(HCE) of Korean financial institutions during 2001 - 2012 were highest among banks, followed by insurance companies and securities firm. Secondly, in general, banks in advanced countries tend to have higher HCE and VAIC compared with the banks of developing countries. Thirdly, Korean financial institutions`` HCE and VAIC are lower than those of Australia and even Taiwan and Thailand and have been on the decrease in recent years. This suggests that Korean financial institutions should enhance VAIC and HCE to enhance their international competitiveness.
차량 분류에 따른 ASJ 2008 예측 모델 적용에 관한 연구
박재식(Jae Sik Park),윤효석(Hyo Seok Yun),한재민(Jae Min Han),박상규(Sang Kyu Park) 한국소음진동공학회 2012 한국소음진동공학회 학술대회논문집 Vol.2012 No.10
Noise maps are produced according to ‘The Method of making a Noise Map’ in order to noise control efficiently, and prediction model to predict road traffic noise which may apply to Korean situation, include CRTN, RLS 90, NMPB, Nord 2000 and ASJ 2003. Of them, ASJ 2003, Japans prediction model has not been verified for the application to Korean situation according to the classification of vehicle. In addition, ASJ 2003 was revised to ASJ 2008 recently, a classification for motorcycle was added. This study attempts to check the classification of vehicle in ASJ 2008 and ‘The Method of making a Noise Map’ to confirm the suitability of the application of them to Korean situation.
박재식(Jae-Shik Park),소명옥(Myong-Ok So),오세준(Se-June Oh),유희한(Hee-Han Yoo),박진길(Jin-Gil Park),하주식(Joo-Shik Ha) 한국마린엔지니어링학회 2003 한국마린엔지니어링학회 학술대회 논문집 Vol.2003 No.-
Photovoltaic power generation systems are expected to be widely used becase of their cleanness in the environment. But one of their disadvantages is the unexprected fluctuation of photovoltaic power generated by the weather conditions.<br/> This paper proposes to predict the output fluctuation of photovoltaic power by analyzing clouds through the image processing technique. First, the velocity of the cloud in the image is calculated by the comparison between two sequential images of the cloud, and then, the weather conditions are forecasted by examining the color values of the image along the direction of the cloud movement. Experimental results, the weather forecast 60, 90 and 120 seconds ahead and the estimation of the time required for the solar radiation to fluctuate on a large scale, show the possibility of the prediction of the output fluctuation of photovoltaic power generation system.<br/>